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A Clinically-Translatable Machine Learning Algorithm for the Prediction of Alzheimer’s Disease Conversion in Individuals with Mild and Premild Cognitive Impairment

BACKGROUND: Available therapies for Alzheimer’s disease (AD) can only alleviate and delay the advance of symptoms, with the greatest impact eventually achieved when provided at an early stage. Thus, early identification of which subjects at high risk, e.g., with MCI, will later develop AD is of key...

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Dades bibliogràfiques
Publicat a:J Alzheimers Dis
Autors principals: Grassi, Massimiliano, Perna, Giampaolo, Caldirola, Daniela, Schruers, Koen, Duara, Ranjan, Loewenstein, David A.
Format: Artigo
Idioma:Inglês
Publicat: 2018
Matèries:
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC6326743/
https://ncbi.nlm.nih.gov/pubmed/29355115
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3233/JAD-170547
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